NDLI: RLS algorithm based sub-band decomposition for low memory multimedia applications

Content Provider	IEEE Xplore Digital Library
Author	Patnaik, S. Patnaik, Y. Upadhya, A.
Copyright Year	2006
Description	Author affiliation: Dept. of Electr. Eng., Nat. Inst. of Technol. (Patnaik, S.)
Abstract	In this paper a neural-network based recursive algorithm for computation of the principal component of a stationary vector stochastic process is discussed. The optimal criteria is to retain the maximum information contained of the input, so as to be able to reconstruct the network inputs from the corresponding outputs with minimum mean square error. In this paper a multi-stage principal component extraction (PCE) algorithm is proposed for sub-band decomposition. In multimedia applications though wavelet or sub-band coding of image has been shown to be superior to more traditional transform coding techniques, little attention has been paid to the important issue of whether both the wavelet transforms and the subsequent can be implemented in low memory without significant loss in performance. This paper addresses the problem of low memory image compression and proposes a block based, reduced memory PCE based, image compression algorithm suitable for multimedia online applications
Starting Page	5
Ending Page	1832
File Size	4514294
Page Count	1828
File Format	PDF
ISBN	8955191294
DOI	10.1109/ICACT.2006.206346
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-02-20
Publisher Place	South Korea
Access Restriction	Subscribed
Rights Holder	ETRI
Subject Keyword	Resonance light scattering Image coding Neurons Covariance matrix Discrete cosine transforms Transform coding Karhunen-Loeve transforms Adaptive filters Least squares approximation Convergence image compression RLS algorithm sub-band coding
Content Type	Text
Resource Type	Article

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